基于Fliplt博弈和Markov博弈模型的拟态防御策略优化研究  

Research on Mimicry Defense Strategy Optimization Based on Fliplt Game and Markov Game Model

作　　者：李强[1] 廖鹰 LI Qiang;LIAO Ying(PLA Cyberspace Information Engineering University,Zhengzhou Henan 450001,China)

机构地区：[1]中国人民解放军网络空间部队信息工程大学,河南郑州450001

出　　处：《信息与电脑》2024年第19期25-28,共4页Information & Computer

摘　　要：为了精准高效选取拟态防御策略,本文基于FlipIt博弈模型和Markov博弈模型对网络攻防过程及行为进行了分析,构建了拟态防御策略评估模型,并依托网络攻防模拟平台,构建了典型的网络拓扑结构,布设了拟态防御设备。通过实验及数据分析,本研究验证了拟态防御技术对提高网络防御能力的有效性,同时验证了评估模型的有效性,得到了网络防御策略优选方法及原则。In order to accurately and efficiently select the mimicry defense strategy,this paper analyzes the process and behavior of network attack and defense based on FlipIt game model and Markov game model,constructs the evaluation model of the mimicry defense strategy,relies on the network attack and defense simulation platform,constructs a typical network topology,and sets up the mimicry defense equipment.Through experiments and data analysis,this paper verifies the effectiveness of mimicry defense technology to improve network defense capability,verifies the effectiveness of evaluation model,and obtains the optimization method and principle of network defense strategy.

关 键 词：拟态防御 博弈模型 策略评估 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]